I put this together (with Claude) as a semi-gamified way for folks to learn about startup equity. Take a look, and share your scorecard :)
Comments URL: https://news.ycombinator.com/item?id=47915274
Points: 3
# Comments: 1
Can a book like this actually change anything? Or does the spotlight, as it always seems to, send more students racing to the place?
Amazon's podcasting business seems to have transformed over the past six months.
Comments URL: https://news.ycombinator.com/item?id=47914677
Points: 57
# Comments: 13
Hi HN,
I built this digital version of Tiao, a two-player turn based strategy board game. Think Checkers meets Go. It's free, runs in the browser, has multiplayer, AI, over the board mode and a lot of other neat things. The source is on GitHub (AGPL).
The game was originally designed by my friend Andreas Edmeier. He created the rules and has been playtesting and refining the game design for years. I built the website for it. The core in about 2 weeks using TypeScript, Next.js, Express, Websockets, and MongoDB. Fully dockerized, deployed on a Hetzner VPS with Coolify. Authentication with better-auth. Real-time gameplay, ELO matchmaking, OpenPanel analytics, and a fully functional achievements system.
Play it: https://playtiao.com Source: https://github.com/trebeljahr/tiao
Happy to answer questions about the tech, the game design, or anything else.
My hope is that more people will play this game because I think it is genuinely fun and would be cool to one day see people play this on a Go board or on their phones/computers.
Have a good one.
Comments URL: https://news.ycombinator.com/item?id=47914369
Points: 4
# Comments: 0
Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning.
This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned.
To solve the "logical neighbor" problem where semantic search misses relevant but non-similar nodes, a graph layer is layered over the vector store. Benchmarked against the LoCoMo dataset, this reached 52% Recall@5, nearly double the accuracy of stateless vector stores, while cutting token waste by roughly 84%.
Built as a local first MCP server using DuckDB, the hypothesis is that for agents handling long-running projects, "what to forget" is just as critical as "what to remember." I'd be interested to hear if others are exploring non-linear decay or similar biological constraints for context management.
GitHub: https://github.com/sachitrafa/cognitive-ai-memory
Comments URL: https://news.ycombinator.com/item?id=47914367
Points: 27
# Comments: 9
https://www.letsrun.com/news/2026/04/15930-sabastian-sawe-sh...
Comments URL: https://news.ycombinator.com/item?id=47914350
Points: 130
# Comments: 84
Article URL: https://ca98am79.medium.com/i-bought-friendster-for-30k-heres-what-i-m-doing-with-it-d5e8ddb3991d
Comments URL: https://news.ycombinator.com/item?id=47914165
Points: 108
# Comments: 34
Article URL: https://moq.dev/blog/moq-boy/
Comments URL: https://news.ycombinator.com/item?id=47914161
Points: 22
# Comments: 1
On the latest episode of Equity, we discuss how Apple has changed since Cook became CEO in 2011, and what challenges incoming CEO John Ternus will be facing.